%pip install -r requirements.txt
Requirement already satisfied: scipy in c:\users\stast\anaconda3\envs\venv\lib\site-packages (from -r requirements.txt (line 1)) (1.7.2) Requirement already satisfied: wavfile in c:\users\stast\anaconda3\envs\venv\lib\site-packages (from -r requirements.txt (line 2)) (4.4.0) Requirement already satisfied: rir-generator in c:\users\stast\anaconda3\envs\venv\lib\site-packages (from -r requirements.txt (line 3)) (0.2.0) Requirement already satisfied: bitstring in c:\users\stast\anaconda3\envs\venv\lib\site-packages (from -r requirements.txt (line 4)) (4.0.1) Requirement already satisfied: cffi>=1.1.0 in c:\users\stast\anaconda3\envs\venv\lib\site-packages (from rir-generator->-r requirements.txt (line 3)) (1.15.0) Requirement already satisfied: numpy>=1.6 in c:\users\stast\anaconda3\envs\venv\lib\site-packages (from rir-generator->-r requirements.txt (line 3)) (1.21.2) Requirement already satisfied: pycparser in c:\users\stast\anaconda3\envs\venv\lib\site-packages (from cffi>=1.1.0->rir-generator->-r requirements.txt (line 3)) (2.21) Note: you may need to restart the kernel to use updated packages.
import numpy as np
import matplotlib.pyplot as plt
import scipy
import IPython
import soundfile as sf
from effects.reverb import *
from effects.tremolo import *
SAMPLE_RATE = 44100
signal, _ = sf.read("guitar_sample.wav", always_2d=True)
signal = signal[:4 * SAMPLE_RATE, :]
signal /= np.max(np.abs(signal),axis=0)
For reverb effect I'm using library rir_generator to build room impulse responses for several different types of rooms. Smallest room is 2x2x2 and largest is 50x50x10
small_room_reverb_effect = ReverbEffect(SMALL_ROOM_REVERB, reverb_time=0.2)
medium_room_reverb_effect = ReverbEffect(MEDIUM_ROOM_REVERB, reverb_time=0.3)
large_room_reverb_effect = ReverbEffect(LARGE_ROOM_REVERB, reverb_time=0.5)
arena_reverb_effect = ReverbEffect(ARENA_REVERB, reverb_time=1.0)
small_room_reverbed_signal = small_room_reverb_effect.apply(signal)
medium_room_reverbed_signal = medium_room_reverb_effect.apply(signal)
large_room_reverbed_signal = large_room_reverb_effect.apply(signal)
arena_reverbed_signal = arena_reverb_effect.apply(signal)
fig, axs = plt.subplots(5, 1)
fig.set_size_inches((10, 12.5))
for i in range(5):
axs[i].set_xlim(right=5 * SAMPLE_RATE)
axs[0].plot(signal)
axs[1].plot(small_room_reverbed_signal)
axs[2].plot(medium_room_reverbed_signal)
axs[3].plot(large_room_reverbed_signal)
axs[4].plot(arena_reverbed_signal)
[<matplotlib.lines.Line2D at 0x2a0150e5b20>, <matplotlib.lines.Line2D at 0x2a0150e5b50>]
IPython.display.Audio(signal.T, rate=SAMPLE_RATE, autoplay=True)
IPython.display.Audio(small_room_reverbed_signal.T, rate=SAMPLE_RATE, autoplay=True)
IPython.display.Audio(medium_room_reverbed_signal.T, rate=SAMPLE_RATE, autoplay=True)
IPython.display.Audio(large_room_reverbed_signal.T, rate=SAMPLE_RATE, autoplay=True)
IPython.display.Audio(arena_reverbed_signal.T, rate=SAMPLE_RATE, autoplay=True)
signal_2, _ = sf.read("guitar_sample_2.wav", always_2d=True)
signal_2 /= np.max(np.abs(signal),axis=0)
Tremolo effect is defined by it's amp and frequency. Generates sine wave for tremolo and multiplies amp of raw signal with generated sine wave.
tremolo_effect = TremoloEffect(min_amp=0.5, freq=7)
tremolo_signal = tremolo_effect.apply(signal_2)
fig, axs = plt.subplots(2, 1)
fig.set_size_inches((10, 5))
axs[0].plot(signal_2)
axs[1].plot(tremolo_signal)
[<matplotlib.lines.Line2D at 0x2a018061670>, <matplotlib.lines.Line2D at 0x2a0180616a0>]
IPython.display.Audio(signal_2.T, rate=SAMPLE_RATE, autoplay=True)
IPython.display.Audio(tremolo_signal.T, rate=SAMPLE_RATE, autoplay=True)
tremolo_wave = tremolo_effect.get_tremolo_wave(N=2 * SAMPLE_RATE)
fig, axs = plt.subplots(2, 1)
fig.set_size_inches((10, 5))
axs[0].plot(tremolo_wave)
axs[1].plot(tremolo_wave * signal_2[:2 *SAMPLE_RATE, 0])
[<matplotlib.lines.Line2D at 0x2a0181382b0>]
